Engineering Analysis

Comprehensive Analysis services to support robust design and development.

Detailed and robust engineering analysis is an imperative support activity for any successful design and development project, particularly from an economic perspective. Scientific Systems has extensive capabilities, including in the following engineering analysis methods and disciplines.

Mathematical Modelling and Simulation

Computational Fluid Dynamics (CFD)

 

Finite Element Analysis (FEA)

 

Circuit simulation (various SPICE; analogue, digital, and mixed-mode simulation)

 

Computer Aided Design (CAD) and parametric modelling

 

Visualisation (virtual, augmented reality, and mixed reality)

Mechanical FEA Analysis
Simulation software CFD

Test Engineering

Development and execution of device Qualification strategies and protocols

 

Development and execution of Validation strategies and protocols

 

Development of production test strategies

 

Network Testing

 

Scientific Systems retains load-test equipment capable of generating tens of thousands of communications sessions simultaneously over almost any type communications link. In conjunction with this, we can undertake simulation of communications links to predict performance, inject impairments for testing, and monitor with performance analysis tools.

 

Reliability Engineering

Reliability analysis (MTBF/MTTF etc)

 

Design of fault-tolerant systems

 

Electrical burn-in (Targeted at improving field reliability by “weeding-out” premature failures and infant mortals).

 

Reliability engineering bath tub curve
Regulatory certification and quality standards

Regulatory and Quality

Scientific Systems can undertake all work in accordance with any regulatory or quality framework such as Good Manufacturing Practise (GMP), American Society for Testing and Materials (ASTM), Australian Standards/New Zealand Standards (AS/NZS); International Standards Organisation (ISO), etc.

Scientific Systems can also provide support and undertake submissions for Regulatory approvals as required.

Comprehensive Analysis services to support robust design and development.

Detailed and robust engineering analysis is an imperative support activity for any successful design and development project, particularly from an economic perspective. Scientific Systems has extensive capabilities, including in the following engineering analysis methods and disciplines.

Mathematical Modelling and Simulation

Computational Fluid Dynamics (CFD)

 

Finite Element Analysis (FEA)

 

Circuit simulation (various SPICE; analog, digital, and mixed-mode simulation)

 

Computer Aided Design (CAD) and parametric modelling

 

Visualisation (virtual, augmented reality, and mixed reality)

Mechanical FEA Analysis

Test Engineering

Development and execution of device Qualification strategies and protocols

 

Development and execution of Validation strategies and protocols

 

Development of production test strategies

 

Network Testing

 

Scientific Systems retains load-test equipment capable of generating tens of thousands of communications sessions simultaneously over almost any type communications link. In conjunction with this, we can undertake simulation of communications links to predict performance, inject impairments for testing, and monitor with performance analysis tools.

 

Simulation software CFD

Reliability Engineering

Reliability analysis (MTBF/MTTF etc)

 

Design of fault-tolerant systems

 

Electrical burn-in (Targeted at improving field reliability by “weeding-out” premature failures and infant mortals).

 

Reliability engineering bath tub curve

Regulatory and Quality

Scientific Systems can undertake all work in accordance with any regulatory or quality framework such as Good Manufacturing Practise (GMP), American Society for Testing and Materials (ASTM), Australian Standards/New Zealand Standards (AS/NZS); International Standards Organisation (ISO), etc.

Scientific Systems can also provide support and undertake submissions for Regulatory approvals as required.
Regulatory certification and quality standards